Autonomic Response to Tactical Pistol Performance Measured by Heart Rate Variability

2015 ◽  
Vol 29 (4) ◽  
pp. 926-933 ◽  
Author(s):  
Andrew G. Thompson ◽  
David P. Swain ◽  
J. David Branch ◽  
Robert J. Spina ◽  
Carmine R. Grieco
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Autonomic Response

Nonlinear dynamics of heart rate variability during experimental hemorrhage in ketamine-anesthetized rats

2000 ◽  
Vol 279 (4) ◽  
pp. H1669-H1678 ◽  
Author(s):  
James E. Skinner ◽  
Brian A. Nester ◽  
William C. Dalsey
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Dimensional Reduction ◽  
Deterministic Model ◽  
Rabbit Heart ◽  
Model System ◽  
Autonomic Response ◽  
Defensive Reaction ◽  
Arrhythmic Death ◽  
System Variables

Indexes of heart rate variability (HRV) based on linear stochastic models are independent risk factors for arrhythmic death (AD). An index based on a nonlinear deterministic model, a reduction in the point correlation dimension (PD2 i), has been shown in both animal and human studies to have a higher sensitivity and specificity for predicting AD. Dimensional reduction subsequent to transient ischemia was examined previously in a simple model system, the intrinsic nervous system of the isolated rabbit heart. The present study presents a new model system in which the higher cerebral centers are blocked chemically (ketamine inhibition of N-methyl-d-aspartate receptors) and the system is perturbed over a longer 15-min interval by continuous hemorrhage. The hypothesis tested was that dimensional reduction would again be evoked, but in association with a more complex relationship between the system variables. The hypothesis was supported, and we interpret the greater response complexity to result from the larger autonomic superstructure attached to the heart. The complexities observed in the nonlinear heartbeat dynamics constitute a new genre of autonomic response, one clearly distinct from a hardwired reflex or a cerebrally determined defensive reaction.

Classification of Individuals Based on Autonomic Response to Virtual Gaming

2020 ◽  
Vol 17 (9) ◽  
pp. 4385-4393
Author(s):  
S. Chandana ◽  
B. R. Purnima ◽  
Prabhu Ravikala Vittal
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Physiological Stress ◽  
Rio Grande ◽  
The Body ◽  
Autonomic Response ◽  
Autonomic Nervous ◽  
Non Invasive

Modern games consists of digital gaming consoles that involves interaction with a user and has an interface to generate visual feedback through 2D/3D monitor. These games have several psychological side effects like loss of spatial awareness, back pains, insomnia, addiction, aggression, stress, and hypertension. Virtual reality (VR) Gaming is one of the most emerging and novel technologies in the field of entertainment. Evaluation of this new technology has become important in order to analyze the effects of its predecessors (2D and 3D gaming). The main focus of this paper is on detection of stress levels in individuals due to VR gaming and classify them depending on their sympathetic and parasympathetic dominance. This is done through acquisition of electrocardiogram (ECG) and photo plethysmograph signals (PPG) signals and extracting their time domain and frequency domain features before, during and after gaming (Fatma Uysal and Mahmut Tokmakçi, 2018. Evaluation of stress parameters based on heart rate variability measurement. Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey. [email protected], [email protected]., da Silva1, A.G.C.B., Arauj, D.N., et al, 2018. Increase in perceived stress is correlated to lower heart rate variability in healthy young subjects. Departamento de Fisioterapia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil. s/n., 81531–980, Curitiba, Parana, Brazil. E-mail: [email protected].). The physiological signal variation is analyzed by performing Heart Rate Variability (HRV) analysis over ECG signals which is one of the fast emerging methods in non-invasive research and clinical tools for assessing autonomic nervous system function (Juan Sztajzel, 2004. Heart rate variability: Aa non-invasive electrocardiographic method to measure the autonomic nervous system. Cardiology Center and Medical Policlinics, University Hospital, Geneva, Switzerland, SWISS MED WKLY 2004;134:514–522. www.smw.ch). Pulse-transmissiontime-variability (PTTV), which is extracted, has high coherence with heart rate variability and is also used as an objective measure of stress. In this paper we obtain the response of an individual during VR gaming and correlate them with the HRV/PTT parameters. The game chosen for the data acquisition was ‘VR city view rope crossing-360 android VR,’ during which data recording is done. It was found that there was a quantitative increase in physiological stress when individuals were exposed to virtual high heights in comparison with time relative to unaltered viewing. Mean Heart rate showed a significant increase during gaming for both boys and girls which indicates that the body is under the influence of a sympathetic activity like a physical exercise.

scholarly journals Type-D Personality in Unemployed Subjects: Prevalence, Self-Efficacy and Heart Rate Variability/Autonomic Response

2017 ◽  
Vol 10 (1) ◽  
pp. 94-103 ◽  
Author(s):  
Katja Petrowski ◽  
Katharina Wendt ◽  
Susann Wichmann ◽  
Martin Siepmann
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Health Effects ◽  
Self Efficacy ◽  
Stress Test ◽  
Type D Personality ◽  
Autonomic Response ◽  
Stress Tests ◽  
Public Health Perspective ◽  
Type D

Background:Unemployment may impair mental and physical health. The influencing factors causing such negative effects are relevant from an individual and public health perspective. The personality as one possible influencing factor was discussed. This study investigated the prevalence of the type-D personality in an unemployed population and its connections to socio-demographic, psychological and heart rate variability (HRV) parameters.Methods:A questionnaire set including socio-demographics, type-D scale (DS14), Complaint list (BL), Beck-Depression-Inventory II (BDI-II) and the General Self-Efficacy Scale (GSE) was handed out to 203 unemployed individuals [126 females, mean age ± SD: 42.36 ± 11.08]. For HRV assessment (RMSSD), a subsample of 83 participants [50 females, median age ± IQR: 47.00 ± 17.00] passed the “stress-tests” (timed breathing, d2-attention-stress-test, math test) while heart frequency (HF) was acquiredviathe Stressball software (BioSign GmbH, Ottenhofen, Germany).Results:53% of the unemployed had a type-D personality. Compared to non-type-D individuals, type-D individuals had rarely children and by trend a lower educational level; they showed significantly higher scores in the BDI-II and lower scores in the GSE and BL. No differences were observed in mean HF or RMSSD during all the stress-tests.Conclusion:The HRV of individuals with a type-D personality is no worse than that of individuals without a type-D personality. Type-D personality was significantly associated with negative health effects regarding depressiveness, self-efficacy and physical complaints. Our main findings implicate that the DS14 could serve as a short and reliable screening instrument to select concerned unemployed individuals who might be at risk for negative health effects for adequate intervention.

scholarly journals Machine Learning models for the Identification of Cognitive Tasks using Autonomic Reactions from Heart Rate Variability and Electrodermal Activity

2019 ◽  
Vol 9 (4) ◽  
pp. 45 ◽  
Author(s):  
Hugo F. Posada-Quintero ◽  
Jeffrey B. Bolkhovsky
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Electrodermal Activity ◽  
Memory Task ◽  
Autonomic Response ◽  
Support Vector ◽  
Learning Models ◽  
Machine Learning Classification ◽  
Machine Learning Models

Indices of heart rate variability (HRV) and electrodermal activity (EDA), in conjunction with machine learning models, were used to identify one of three tasks a subject is performing based on autonomic response elicited by the specific task. Using non-invasive measures to identify the task performed by a subject can help to provide individual monitoring and guidance to avoid the consequences of reduced performance due to fatigue or other stressors. In the present study, sixteen subjects were enrolled to undergo three tasks: The psychomotor vigilance task (PVT), an auditory working memory task (the n-back paradigm), and a visual search (ship search, SS). Electrocardiogram (ECG) (for HRV analysis) and EDA data were collected during the tests. For task-classification, we tested four machine learning classification tools: k-nearest neighbor classifier (KNN), support vector machines (SVM), decision trees, and discriminant analysis (DA). Leave-one-subject-out cross-validation was used to evaluate the performance of the constructed models to prevent overfitting. The most accurate models were the KNN (66%), linear SVM (62%), and linear DA (62%). The results of this study showed that it is possible to identify the task a subject is performing based on the subject’s autonomic reactions (from HRV and EDA). This information can be used to monitor individuals within a larger group to assist in reducing errors caused by uncoordinated or poor performance by allowing for automated tracking of and communication between individuals.

scholarly journals The effects of aerobic exercise in water on perceived pain and heart rate variability in women with fibromyalgia

2021 ◽  
Vol 38 (1) ◽  
pp. 8-14
Author(s):  
MM Riquelme ◽  
CA Melipillán ◽  
AA Bacon ◽  
OS Niño-Méndez ◽  
CA Núñez-Espinosa
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Physical Exercise ◽  
Aquatic Environment ◽  
Pain Perception ◽  
Water Environment ◽  
Autonomic Response ◽  
Adult Women ◽  
Anthropometric Measures ◽  
The Relationship

Fibromyalgia is a disease characterized by conical pain associated with autonomic dysregulation of the sufferer, without many treatment alternatives. The objective of this study was to find out the relationship between physical exercise in an aquatic environment, pain perception and cardiovascular autonomic control in adult women suffering from fibromyalgia. The sample consisted of 15 women diagnosed with fibromyalgia who participated in 24 40-minute exercise sessions in a water environment. Anthropometric measures, heart rate variability (HRV) and pain perception (PCS) were evaluated in four experimental times (t1, baseline; t2, session 8; t3, session 16; t4, session 24). In addition, the perception of pain was evaluated in each session through VAS. The results show that the perception of pain through VAS decreased when comparing all the means evaluated before and after each session (p <0.05). In the PCS application, a lower Total Pain and Rumination was obtained when comparing t1 with t4. HRV values showed that SDNN and RMSSD were higher after the session, when t4 was compared with t1 (p <0.05). The mean heart rate decreased at the end of the sessions, showing a better adaptation to exercise. The relationship between pain and cardiac measurements was given by a positive correlation in the pain domains recorded before the sessions and the RMSSD and SDNN values. In conclusion, the practice of physical exercise in an aquatic environment would indicate a lower perception of pain and a better cardiac autonomic response in women with fibromyalgia.

scholarly journals Autonomic response of gradient exercise testing protocol in normotensive, overweight, and pre-hypertensive individuals: a prospective, observational, and analytical study

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Neha Bala ◽  
Aashish Negi ◽  
Yogesh Saxena ◽  
Sarfaraz Alam
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Diastolic Blood Pressure ◽  
Exercise Testing ◽  
Autonomic Response ◽  
Testing Protocol

Abstract Background Coronary artery disease (CAD) is increasing day by day in young Indian population with increase in risk factors such as obesity, hypertension etc. Although in early age, these risk factors are clinically asymptomatic but physiologically they are symptomatic. These symptoms can be best assessed by assessing the response of autonomic nervous system Therefore the purpose of this study was to compare the autonomic response of gradient exercise testing protocol in normotensive, overweight, and pre-hypertensive subjects in the form of chronotropic response to exercise, inotropic reponse, heart rate recovery, blood pressure recovery, BRPE, and heart rate variability so that the physiological abnormalities can be corrected. Results There were significant differences (p < 0.05) found in gradient exercise testing protocol in diastolic blood pressure in normotensive, in heart rate variability in overweight and in both systolic as well as diastolic blood pressure in pre-hypertensive subjects. Conclusion Gradient exercise testing protocol can be best utilized as a clinical tool in normotensive, overweight, and pre-hypertensive subjects for the assessment of autonomic nervous system which provides diagnostic and prognostic information regarding cardiovascular disease or abnormalities.

Sex differences in linear and nonlinear heart rate variability during early recovery from supramaximal exercise

2010 ◽  
Vol 35 (S1) ◽  
pp. 439-446 ◽  
Author(s):  
Goncalo V. Mendonca ◽  
Kevin S. Heffernan ◽  
Lindy Rossow ◽  
Myriam Guerra ◽  
Fernando D. Pereira ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Low Frequency ◽  
Autonomic Response ◽  
Fluctuation Analysis ◽  
Scaling Exponent ◽  
Supramaximal Exercise ◽  
Early Recovery ◽  
Additional Information ◽  
Linear And Nonlinear

Women demonstrate greater RR interval variability than men of similar age. Enhanced parasympathetic input into cardiac regulation appears to be not only greater in women, but also protective during periods of cardiac stress. Even though women may have a more favorable autonomic profile after exercise, little research has been conducted on this issue. This study was designed to examine the cardiac autonomic response, in both male and female participants, during the early recovery from supramaximal exercise. Twenty-five individuals, aged 20 to 33 years (13 males and 12 females), performed a 30-s Wingate test. Beat-to-beat RR series were recorded before and 5 min after exercise, with the participants in the supine position and under paced breathing. Linear (spectral analysis) and nonlinear analyses (detrended fluctuation analysis (DFA)) were performed on the same RR series. At rest, women presented lower raw low frequency (LF) power and higher normalized high frequency (HF) power. Under these conditions, the LF/HF ratio of women was also lower than that of men (p < 0.05), but there were no differences in the short-term scaling exponent (α1). Even though both sexes showed a significant modification in linear and nonlinear measures of heart rate variability (HRV) (p < 0.05), women had a greater change in LF/HF ratio and α1 than men from rest to recovery. This study demonstrates that the cardiac autonomic function of women is more affected by supramaximal exercise than that of men. Additionally, DFA did not provide additional information about sexual dimorphisms, compared with conventional spectral HRV techniques.

scholarly journals Monitorization of Autonomic Stress Response of Nurse Students in Hospital Clinical Simulation

2021 ◽  
Vol 2021 ◽  
pp. 1-7 ◽  
Author(s):  
Ana Isabel Beltrán-Velasco ◽  
Paula Sánchez-Conde ◽  
Domingo Jesús Ramos-Campo ◽  
Vicente Javier Clemente-Suárez
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Stress Response ◽  
Perceived Stress ◽  
Stress Responses ◽  
Purpose In Life ◽  
Autonomic Response ◽  
Psychological Profile ◽  
Clinical Simulation ◽  
Nurse Students

The aims of this study were to analyze the autonomic stress response of nurse degree students during a hospital clinical simulation and to analyze differences in the autonomic stress response of nurse degree students during a hospital clinical simulation depending on their psychological profile. We analyzed in 45 nurse students their psychological profile (purpose in life, coping flexibility, perceived stress, Framingham Type A Behavior, and personality) and the autonomic modulation by the heart rate variability in a hospital clinical simulation. Students presented decreased heart rate variability and different autonomic stress responses depending on the different psychological parameters evaluated. We concluded that a hospital clinical simulation produced a large sympathetic modulation of nurse students that was maintained during the entire clinical simulation. The autonomic response was modulated by the psychological profile of students, showing higher purpose in life, perceived stress, and neuroticism, presenting higher parasympathetic modulation.

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